Arupa Barua

I am a recent Computer Science and Engineering graduate from CUET, focused on Agentic AI and Generative AI applications, with hands-on experience building and shipping multi-agent systems with tool calling, memory, RAG, GraphRAG, and LLM evaluation. I also have experience in machine learning, deep learning, NLP, and MLOps, with projects spanning predictive modeling and end-to-end deployment of AI/ML systems. I’ve also worked with cloud technologies, Docker, Kubernetes, and CI/CD to build and deploy production-oriented ML systems.

Alongside my project work, I'm an active researcher with three papers accepted at IEEE and ACL venues, covering topics in NLP, deep learning, and predictive modeling, including manipulative content detection in multilingual text, remaining useful life prediction for aircraft engines, and political sentiment analysis.